Just a clarification, they tuned on the public training dataset, not the semi-private one. The 87.5% score was on the semi-private eval, which means the model was still able to generalize well.
That being said, the fact that this is not a "raw" base model, but one tuned on the ARC-AGI tests distribution takes away from the impressiveness of the result — How much ? — I'm not sure, we'd need the un-tuned base o3 model score for that.
In the meantime, comparing this tuned o3 model to other un-tuned base models is unfair (apples-to-oranges kind of comparison).
